Self-Modifying Circuitry for Trillion-Element Reconfigurable Devices - Macias, Nicholas J.
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As transistors density continues to rise, it becomes increasingly difficult to scale current computing designs to utilize these high transistor counts. This work presents a scalable alternative to the traditional von Neumann architecture, in the form of a self-configurable array of programmable elements. Unlike traditional FPGAs, this architecture utilizes self-analysis and self-modification to address a number of scalability challenges, including handling mixed-granularity designs; handling of defects; and dynamic architecture tuning. Included are details of the basic architecture, examples…mehr

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Produktbeschreibung
As transistors density continues to rise, it becomes increasingly difficult to scale current computing designs to utilize these high transistor counts. This work presents a scalable alternative to the traditional von Neumann architecture, in the form of a self-configurable array of programmable elements. Unlike traditional FPGAs, this architecture utilizes self-analysis and self-modification to address a number of scalability challenges, including handling mixed-granularity designs; handling of defects; and dynamic architecture tuning. Included are details of the basic architecture, examples of its application to solving real-world problems, and an analysis of its scalability. Emphasis is placed on the ability of the system's self-configuration mechanism to support efficient parallel bootstrapping of the system. This work also discusses the three-dimensional version of the Cell Matrix, and explores how this extra dimension can be used to more-efficiently solve future problems.
Autorenporträt
Dr. Macias has been researching self-modifying computing architectures since co-inventing the original Cell Matrix architecture in 1986. He currently teaches part-time while continuing to explore this area of research. His other interests include mathematics, music and philosophy, as well as exercise and fitness.